There are a lot of tools that can be used to monitor docker as explained in this previous post, but it could be interesting to keep the history of the CPU and memory used by each individual container.
Creating a REST API is one of the building block of lot of software. It lets us access to data using an easy protocol accessible by most of the recent programming languages. That’s great but which language should we use to build the API.
Docker is the best tool to quickly check new technologies without the hassles of installations.
In the part 1, we saw how to display the number of docs and their sizes per node. In the real life, it helps but we need more than that.
There are multiple add-ons that can help you monitor your Elastic Search cluster health. We are addicted to the kopf/cerebro plugins which let us understand easily the current state of the cluster. But the drawback of such a plugin is that it does not keep track of what is happening when it is not running. Continue reading “Monitoring your Elastic Cluster health”
The purpose of this blog is to demonstrate how to dockerize a NodeJS and a Python application and how it is possible to make them talk together via a middleware like ActiveMQ.